Data Analytics Coordinator

Descripción del Trabajo

Auto req ID: 206673BR

Job Description

Do you want to be part of one of the most important foods and beverages companies of the world?

PepsiCo is a global leader in foods and beverages with a portfolio of 22 global brands that generate more one billion dollars per year. Today we are looking for our next:
Data Analytics, Coordinator

Do you want to be a pioneer in a dynamic field of applied analytics?
Forward-thinking HR organizations are tapping into the vast stores of data they have at their disposal to measure, monitor, and improve the management of their organization’s greatest asset – their people. Envision yourself on the cutting edge of this new discipline, and joining us at the intersection of statistics, data science, marketing research, economics, psychology, and sociology. Our group is where you get to learn from authorities in the field, work with a highly accomplished interdisciplinary team of colleagues from across Latin America, and use your Science, Technology, Engineering & Math (STEM) degree in an unexpected way to help PepsiCo build a work environment where talent thrives.

What you will do:
The Senior Analyst, Data Science is part of the Workforce Planning & Analytics Center-of-Excellence within PepsiCo's Latin America Sector. Our team collaborates with all levels of the organization from our executives to people in our worldwide network of professional, sales, manufacturing, and distribution facilities. You will be responsible for applying new technologies to business problems and helping develop insights from ground-breaking statistical models of complex human resources and business challenges.

Responsibilities of this role include:

  • Apply and improve existing predictive models and advanced statistical analyses to solve for business problems
  • Build and use large-scale datasets for statistical analysis using software (e.g., R, SPSS, Python, SQL, Teradata, Azure, Hadoop, Access, Excel)
  • Support the design and lead the execution of experiments, in partnership with your team members, to understand human behavior and value different intervention options
  • Support technical project teams as lead analyst, working at the direction of project leaders and working with more junior team members to broaden their analytics skills
  • Help build an analytics culture by collaborating with other analytics authorities across the organization, identifying new technologies and approaches, and creating a robust set of analytics tools


Education and Work Experience:
  • Advanced degree (Masters preferred) in an applied quantitative or social science discipline, such as Data Science, Computer Science, Applied Statistics, I/O Psychology, Behavioral Economics, Mathematics, Anthropology, Political Science, or Demography with an emphasis on use of advanced technologies and empirical research
  • Minimum of 3+ years of experience in building multi-variate statistical modeling, including approaches like linear and logistic regression
  • Experience applying AI and machine/deep learning towards topics like prediction modeling, text analytics, sentiment analysis, and/or path analysis
  • Experience managing data acquisition and organization, as required to build statistical models
  • Proficiency in at least one coding or statistical software package (e.g., Java, Python, C++, R, SPSS, SAS, Stata, MATLAB, SQL, etc.)
  • Experience with one of Tableau, Power BI, or QlikView, as well as, Microsoft Excel, Access and PowerPoint
  • Language ability in: English, with Spanish or Portuguese a plus

Competencies / Behaviors:
  • Strong analytical skills, including the ability to effectively handle complex data sets and data integrity issues
  • Interest in further developing and applying knowledge of AI and other technologies to solve human and business problems
  • Agile, adaptable, and open to new ideas and cultures
  • Team-based working style
  • Intellectual curiosity and dedicated to keeping up with advances in analytics tools and approaches
  • Willing to experiment with different approaches and capable of applying new insights in creative ways to answer business and talent questions
  • High attention to detail – self-monitors all work to ensure accuracy and completeness
  • Willingness to travel throughout Central and South America

In PepsiCo, we are committed to offer equal development opportunities to all the candidates, no matter the religion, race, sexual orientation, nationality, age, etc. We respect and appreciate the diversity as a workforce and innovation to the organization.
If you have the profile that we are looking, send us your CV by this via, if it's possible that you can participate in this process we will contact you ASAP, if not we will keep your info in our base data for 6 months.

Thank you so much for your interest in PepsiCo!

Qualifications/Requirements

  • Advanced degree (Masters preferred) in an applied quantitative or social science discipline, such as Data Science, Computer Science, Applied Statistics, I/O Psychology, Behavioral Economics, Mathematics, Anthropology, Political Science, or Demography with an emphasis on use of advanced technologies and empirical research
  • Minimum of 3+ years of experience in building multi-variate statistical modeling, including approaches like linear and logistic regression
  • Experience applying AI and machine/deep learning towards topics like prediction modeling, text analytics, sentiment analysis, and/or path analysis
  • Experience managing data acquisition and organization, as required to build statistical models
  • Proficiency in at least one coding or statistical software package (e.g., Java, Python, C++, R, SPSS, SAS, Stata, MATLAB, SQL, etc.)
  • Experience with one of Tableau, Power BI, or QlikView, as well as, Microsoft Excel, Access and PowerPoint
  • Language ability in: English, with Spanish or Portuguese a plus

Relocation Eligible: No Aplicable (N/A)
Job Type: Indefinido